Amazon OA 2026 – All Questions Asked List | The Rise of LLM-Proof DSA Problems

Question

Answer 1

A New Trend in Amazon Online Assessments

Over the past few hiring cycles, Amazon’s Online Assessment (OA) pattern has quietly undergone a major shift.

Earlier, candidates could clear OAs primarily through:

• standard Data Structures & Algorithms templates,

• popular LeetCode patterns,

• memorized problem types.

However, Amazon OA 2026 introduces a noticeably different trend.

Companies are now increasingly asking what can be called:

LLM-Proof DSA Questions

These are problems designed to test reasoning ability, not pattern recognition.

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What Are “LLM-Proof” DSA Questions?

An LLM-Proof question is not necessarily harder in implementation — but harder in thinking.

Such problems typically:

✅ Look simple initially
✅ Hide mathematical or structural observations
✅ Break brute-force or template approaches
✅ Fail under direct AI-generated solutions
✅ Require discovery of invariants or constraints

Instead of testing coding speed, these questions evaluate:

• analytical reasoning,

• problem modeling,

• observation skills,

• understanding of constraints evolution.

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Amazon OA 2026 — Observed Question Types

From multiple recent OA experiences and discussions, Amazon questions are increasingly focused on:

1️⃣ Prefix & Frequency Based Problems

Candidates must reason about evolving prefixes rather than static arrays.

Typical challenges involve:

• partitioning conditions,

• dynamic constraints,

• frequency invariants,

• mathematical divisibility observations.

These problems often appear easy but become complex when scaled.

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2️⃣ Observation-Driven Greedy Problems

Standard greedy templates fail unless the candidate discovers the correct invariant first.

The solution usually emerges only after reframing the problem.

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3️⃣ Graph Problems With Modified Rules

Amazon frequently modifies classic graph problems by adding constraints such as:

• reusable edges,

• conditional costs,

• traversal restrictions,

• optimization under unusual metrics.

Traditional shortest-path intuition alone is insufficient.

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4️⃣ Mathematical / Structural DSA

Many OA questions now combine:

• Number Theory

• Prefix reasoning

• Combinatorial observations

• Proof-based logic

Implementation becomes trivial after the insight.

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⚠️ Why Many Strong Candidates Still Fail

A common preparation mistake is focusing only on:

❌ solving large numbers of LeetCode Medium problems
❌ memorizing sliding window or DP templates
❌ relying heavily on AI-generated explanations

Modern OAs increasingly reward candidates who can:

✅ derive patterns independently
✅ reason under changing constraints
✅ identify hidden structure
✅ optimize logically before coding

In short:

Amazon now evaluates how you think, not just what you code.

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The Emerging Interview Reality

With AI tools becoming widely accessible, companies are naturally adapting their evaluation process.

The new direction emphasizes:

• reasoning over recall,

• modeling over memorization,

• insight over implementation.

This explains the growing appearance of problems that remain difficult even when assisted by LLM tools.

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Complete Amazon OA Question Collection (2025–2026)

To help candidates understand this evolving pattern, I’ve compiled:

✅ Real Amazon OA questions
✅ Detailed explanations
✅ Interview discussions
✅ Problem-solving breakdowns

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Amazon OA Video Solutions

[

– Amazon OA Video Playlist Here]

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Complete Amazon OA Question List

[https://www.desiqna.in/tag/amazon_oa – Amazon OA Question List Here]

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✅ Final Thoughts

The biggest takeaway from Amazon OA 2026 is clear:

Competitive advantage no longer comes from memorizing problems —
it comes from developing deep problem-solving intuition.

As hiring evolves, candidates who train themselves to analyze structure and reason independently will consistently outperform template-based preparation.

If you are targeting Amazon or other top product companies, focus on learning how to think, not just how to implement.

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⭐ More deep OA breakdowns and interview-level DSA discussions coming soon.